Marco Bressan

Orcid: 0000-0001-5211-2264

Affiliations:
  • University of Milan, Italy
  • Sapienza University of Rome, Italy (former)


According to our database1, Marco Bressan authored at least 40 papers between 2009 and 2024.

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Bibliography

2024
Counting Subgraphs in Somewhere Dense Graphs.
SIAM J. Comput., 2024

Margin-Based Active Learning of Classifiers.
J. Mach. Learn. Res., 2024

Fully-Dynamic Approximate Decision Trees With Worst-Case Update Time Guarantees.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Efficient Algorithms for Learning Monophonic Halfspaces in Graphs.
Proceedings of the Thirty Seventh Annual Conference on Learning Theory, June 30, 2024

A Theory of Interpretable Approximations.
Proceedings of the Thirty Seventh Annual Conference on Learning Theory, June 30, 2024

2023
Sublinear Algorithms for Local Graph-Centrality Estimation.
SIAM J. Comput., August, 2023

Efficient and Near-optimal Algorithms for Sampling Small Connected Subgraphs.
ACM Trans. Algorithms, July, 2023

The Complexity of Pattern Counting in Directed Graphs, Parameterised by the Outdegree.
Proceedings of the 55th Annual ACM Symposium on Theory of Computing, 2023

Fully-Dynamic Decision Trees.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Active Learning of Classifiers with Label and Seed Queries.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021
Faster Motif Counting via Succinct Color Coding and Adaptive Sampling.
ACM Trans. Knowl. Discov. Data, 2021

Counting homomorphisms, subgraphs, and induced subgraphs in degenerate graphs: new hardness results and complete complexity classifications.
CoRR, 2021

Faster algorithms for counting subgraphs in sparse graphs.
Algorithmica, 2021

Efficient and near-optimal algorithms for sampling connected subgraphs.
Proceedings of the STOC '21: 53rd Annual ACM SIGACT Symposium on Theory of Computing, 2021

On Margin-Based Cluster Recovery with Oracle Queries.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Exact and Approximate Pattern Counting in Degenerate Graphs: New Algorithms, Hardness Results, and Complexity Dichotomies.
Proceedings of the 62nd IEEE Annual Symposium on Foundations of Computer Science, 2021

Exact Recovery of Clusters in Finite Metric Spaces Using Oracle Queries.
Proceedings of the Conference on Learning Theory, 2021

2020
On Approximating the Stationary Distribution of Time-Reversible Markov Chains.
Theory Comput. Syst., 2020

Faster algorithms for sampling connected induced subgraphs.
CoRR, 2020

Exact Recovery of Mangled Clusters with Same-Cluster Queries.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019
Motivo: Fast Motif Counting via Succinct Color Coding and Adaptive Sampling.
Proc. VLDB Endow., 2019

Mixing time bounds for graphlet random walks.
Inf. Process. Lett., 2019

Correlation Clustering with Adaptive Similarity Queries.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Faster Subgraph Counting in Sparse Graphs.
Proceedings of the 14th International Symposium on Parameterized and Exact Computation, 2019

2018
Motif Counting Beyond Five Nodes.
ACM Trans. Knowl. Discov. Data, 2018

On degeneracy and the parameterized complexity of subgraph counting.
CoRR, 2018

Brief Announcement: On Approximating PageRank Locally with Sublinear Query Complexity.
Proceedings of the 30th on Symposium on Parallelism in Algorithms and Architectures, 2018

2017
Counting Graphlets: Space vs Time.
Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, 2017

2016
The Limits of Popularity-Based Recommendations, and the Role of Social Ties.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

2015
Simple set cardinality estimation through random sampling.
CoRR, 2015

2014
Approximating PageRank locally with sublinear query complexity.
CoRR, 2014

2013
The power of local information in PageRank.
Proceedings of the 22nd International World Wide Web Conference, 2013

Simple, Fast, Accurate Melanocytic Lesion Segmentation in 1D Colour Space.
Proceedings of the VISAPP 2013, 2013

2011
Ranking robustly.
PhD thesis, 2011

<i>psort</i>, yet another fast stable sorting software.
ACM J. Exp. Algorithmics, 2011

Datamation: A Quarter of a Century and Four Orders of Magnitude Later.
Proceedings of the 2011 IEEE International Conference on Cluster Computing (CLUSTER), 2011

Local computation of PageRank: the ranking side.
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

2010
Choose the damping, choose the ranking?
J. Discrete Algorithms, 2010

Urban Hitchhiking.
Proceedings of the Fun with Algorithms, 5th International Conference, 2010

2009
psort, Yet Another Fast Stable Sorting Software.
Proceedings of the Experimental Algorithms, 8th International Symposium, 2009


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